Training Date 1 Sep - 5 Sep, 2025
Training Mode Virtual
Venue Maarifa Consult office
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Introduction

This comprehensive course will be your guide to learning how to use the power of Python to analyze big data, create beautiful visualizations, and use powerful machine learning algorithms. This course is designed for both beginners with basic programming experience or experienced developers looking to make the jump to Data Science and big data Analysis. Python has been one of the most adaptable, and robust open-source languages that are easy to learn and uses powerful libraries for data manipulation and analysis. For many years now, Python has been used in scientific computing and mathematical domains such as physics, finance, oil and gas, and signal processing. This Big Data Analytics with Python course provides a complete overview of data analysis techniques using Python. A Data Scientist is one of the strongest professions today and Python is a crucial skill for such roles. The Big Data Analytics with Python course teaches you to master the concepts of Python programming. Through this training, you will gain knowledge of the essential tools of Data Analytics with Python.

objectives

  1. By the end of this course participants will be able to:
  2. Import data sets
  3. Clean and prepare data for analysis
  4. Know how to use pandas to create and analyse data sets.
  5. Manipulate pandas Data Frame
  6. Analyse, Visualize and present data
  7. Build data pipelines

Outline

  • Importing Datasets
      • Understanding the Domain
      • Understanding the Dataset
      • Python package for data science
      • Importing and Exporting Data in Python
      • Basic Insights from Datasets
      • Getting Started Analyzing Data in Python
  • Data Wrangling - Cleaning and Preparing the Data
      • Pre-processing data in Python
      • Identify and Handle Missing Values in Python
      • Data Formatting
      • Data Normalization Sets
      • Binning in Python
      • Indicator variables
      • Turning categorical variables into quantitative variables in Python

       

  • Exploratory Data Analysis
      • Descriptive Statistics
      • GroupBy in Python
      • Analysis of Variance – ANOVA
      • Correlation
      • Correlation – Statistics
  • Model Development
      • Simple and Multiple Linear Regression
      • Model Evaluation using Visualization
      • Polynomial Regression and Pipelines
      • R-squared and MSE for In-Sample Evaluation
      • Prediction and Decision Making
  • Working with Data in Python
      • Model Evaluation
      • Over Fitting, Under fitting and Model Selection
      • Ridge Regression
      • Grid Search
      • Model Refinement

Approach

Our Training Approach

This course is delivered by our seasoned trainers who have vast experience as expert professionals in the respective fields of practice. The course is taught through a mix of practical activities, theory, group works and case studies. Training manuals and additional reference materials are provided to the participants.

Certification

Upon successful completion of this training, participants will be issued with a certificate of completion.

Tailor-Made

Tailor-Made Training

We can also do this as a tailor-made course to meet organization-wide needs. Contact us to find out more: training@maarifaconsult.com / and cc    maarifaconsult@gmail.com

OR Call us on +256774361213

Fees & Payment

Fees Ugandans: UGX500000 International: USD200

Payment

The training fee covers tuition fees, learning materials, Lunch & Breakfast. Payment should be sent to our bank account before start of training and proof of payment sent to training@maarifaconsult.com /or maarifaconsult@gmail.com

Bank Account can be Requested.